Abstract
Ultrasonic testing analysis is a crucial scientific component during the process and interpretation of the ultrasonic detection signal. Focusing on the ultrasonic testing characteristics, the time‐invariant spectral analysis method cannot meet the processing requirements of the detection signal fully. Thus, S transform, the time‐varying analysis method, was introduced into the ultrasonic testing data processing of the concrete structure. The acoustic wave phase velocity was derived based on the spectrum analysis, and the S transform time‐frequency analysis method was established. Finally, based on the method of concrete experimental data set, studies show that the frequency energy spectrum with S transform can realize flexible and effective identification of defects in the concrete structure. Definitely, this analysis method can significantly improve the resolution and practicality of ultrasonic testing.
Highlights
Applying nondestructive testing (NDT) to the concrete structure detects objects without destroying the structure using the reactions to the changes in the physical field caused by the defects in the internal structure
Ultrasonic testing (UT) detection technology is a nondestructive testing technology frequently used in concrete quality management
When testing the concrete structure containing defects, the energy spectrum near the main frequency 50 KHz may occur with more energy group, and the time appears to have lagged in the case of the intact concrete
Summary
Applying nondestructive testing (NDT) to the concrete structure detects objects without destroying the structure using the reactions to the changes in the physical field caused by the defects in the internal structure. Ese techniques improve the quality of ultrasound signals, enhancing the useful signals It extracts useful information for location and quantitation analysis of the ultrasonic signal to obtain quantitative detection [9,10,11]. Signal processing is one of the critical tasks in ultrasonic testing of concrete structures. It has important effects in concrete detection. In processing the detection data of civil engineering structures, we acquire the features of the signals with mathematical transformation and obtain the defects’ features. E proposed method was applied to detect the concrete structure defect testing model. E proposed method was applied to detect the concrete structure defect testing model. e feasibility of the proposed method was analysed, and the application effect of the proposed method was verified
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